Skip to menu Skip to content Skip to footer

2025

Journal Article

Diametrically Opposed Attributes? Review Process Preferences and Priorities When Contesting Algorithmic Decisions

Lyons, Henrietta, Miller, Tim and Velloso, Eduardo (2025). Diametrically Opposed Attributes? Review Process Preferences and Priorities When Contesting Algorithmic Decisions. Proceedings of the ACM on Human-Computer Interaction, 9 (7) CSCW287, 1-32. doi: 10.1145/3757468

Diametrically Opposed Attributes? Review Process Preferences and Priorities When Contesting Algorithmic Decisions

2025

Journal Article

Using generative artificial intelligence in clinical practice: a narrative review and proposed agenda for implementation

Scott, Ian A, Reddy, Sandeep, Kelly, Tanya, Miller, Tim and van der Vegt, Anton (2025). Using generative artificial intelligence in clinical practice: a narrative review and proposed agenda for implementation. Medical Journal of Australia, 223 (11) mja2.70057, 664-672. doi: 10.5694/mja2.70057

Using generative artificial intelligence in clinical practice: a narrative review and proposed agenda for implementation

2025

Journal Article

Improving tactical decision-making through multiobjective contrastive explanations

Blom, Michelle, Singh, Ronal, Miller, Tim, Sonenberg, Liz, Trentelman, Kerry, Saulwick, Adam and Wark, Steven (2025). Improving tactical decision-making through multiobjective contrastive explanations. IEEE Transactions on Human-Machine Systems, 55 (5), 855-864. doi: 10.1109/thms.2025.3591163

Improving tactical decision-making through multiobjective contrastive explanations

2025

Journal Article

Explainable AI, energy and critical infrastructure systems

Leofante, Francesco, Artelt, André, Eliades, Demetrios, Korre, Anna, Toni, Francesca and Miller, Tim (2025). Explainable AI, energy and critical infrastructure systems. AI Magazine, 46 (3) e70033. doi: 10.1002/aaai.70033

Explainable AI, energy and critical infrastructure systems

2025

Journal Article

An actionability assessment tool for enhancing algorithmic recourse in explainable AI

Singh, Ronal, Miller, Tim, Sonenberg, Liz, Velloso, Eduardo, Vetere, Frank and Howe, Piers (2025). An actionability assessment tool for enhancing algorithmic recourse in explainable AI. IEEE Transactions on Human-Machine Systems, 55 (4), 519-528. doi: 10.1109/thms.2025.3582285

An actionability assessment tool for enhancing algorithmic recourse in explainable AI

2025

Journal Article

Quality work in the future: new directions via a co-evolving sociotechnical systems perspective

Parker, Sharon K., Ballard, Timothy, Billinghurst, Mark, Collins, Catherine, Dollard, Maureen, Griffin, Mark A., Johal, Wafa, Jorritsma, Karina, Kowalkiewicz, Marek, Kyndt, Eva, Lusher, Dean, McLennan, Char-lee, Miller, Tim, Neal, Andrew, Paterson, Jeannie Marie, Vetere, Frank and Walsh, Toby (2025). Quality work in the future: new directions via a co-evolving sociotechnical systems perspective. Australian Journal of Management 03128962251331813. doi: 10.1177/03128962251331813

Quality work in the future: new directions via a co-evolving sociotechnical systems perspective

2025

Journal Article

Towards Explainable Goal Recognition Using Weight of Evidence (WoE): A Human-Centered Approach

Alshehri, Abeer, Abdulrahman, Amal, Alamri, Hajar, Miller, Tim and Vered, Mor (2025). Towards Explainable Goal Recognition Using Weight of Evidence (WoE): A Human-Centered Approach. Journal of Artificial Intelligence Research, 82, 2535-2594. doi: 10.1613/jair.1.17173

Towards Explainable Goal Recognition Using Weight of Evidence (WoE): A Human-Centered Approach

2025

Conference Publication

A Hypothesis-Driven Approach to Explainable Goal Recognition

Alshehri, Abeer, Alotaibi, Hissah, Miller, Tim and Vered, Mor (2025). A Hypothesis-Driven Approach to Explainable Goal Recognition. 24th International Conference on Autonomous Agents and Multiagent Systems-AAMAS-Annual, Detroit Mi, May 19-23, 2025. NEW YORK: International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).

A Hypothesis-Driven Approach to Explainable Goal Recognition

2025

Conference Publication

Proceedings of the Second Multimodal, Affective and Interactive eXplainable AI Workshop (MAI-XAI 2025) co-located with the 28th European Conference on Artificial Intelligence 25-30 October 2025 (ECAI 2025)

Cimiano, Philipp, Giannotti, Fosca, Miller, Tim, Hammer, Barbara, Bolos, Alejandro Catala, Flach, Peter and Alonso-Moral, Jose M. (2025). Proceedings of the Second Multimodal, Affective and Interactive eXplainable AI Workshop (MAI-XAI 2025) co-located with the 28th European Conference on Artificial Intelligence 25-30 October 2025 (ECAI 2025). CEUR-WS.

Proceedings of the Second Multimodal, Affective and Interactive eXplainable AI Workshop (MAI-XAI 2025) co-located with the 28th European Conference on Artificial Intelligence 25-30 October 2025 (ECAI 2025)

2024

Conference Publication

Towards the New XAI: A Hypothesis-Driven Approach to Decision Support Using Evidence

Le, Thao, Miller, Tim, Sonenberg, Liz and Singh, Ronal (2024). Towards the New XAI: A Hypothesis-Driven Approach to Decision Support Using Evidence. 27th European Conference on Artificial Intelligence, Santiago de Compostela, Spain, 19–24 October 2024. Amsterdam, Netherlands: IOS Press. doi: 10.3233/faia240571

Towards the New XAI: A Hypothesis-Driven Approach to Decision Support Using Evidence

2024

Conference Publication

How to validate XAI in longitudinal studies?

Gjoreski, Martin, Laporte, Matias, Langheinrich, Marc and Miller, Tim (2024). How to validate XAI in longitudinal studies?. ACM International Joint Conference on Pervasive and Ubiquitous Computing / ACM International Symposium on Wearable Computers (UbiComp/ISWC), Melbourne, VIC, Australia, 5-9 October 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3675094.3678997

How to validate XAI in longitudinal studies?

2024

Journal Article

Using conversant artificial intelligence to improve diagnostic reasoning: ready for prime time?

Scott, Ian A., Miller, Tim and Crock, Carmel (2024). Using conversant artificial intelligence to improve diagnostic reasoning: ready for prime time?. Medical Journal of Australia, 221 (5), 240-243. doi: 10.5694/mja2.52401

Using conversant artificial intelligence to improve diagnostic reasoning: ready for prime time?

2024

Journal Article

Capturing the ghost in the machine: a process for development and validation of measures of phenomenal consciousness in delirium

Eeles, Eamonn, Tran, David Duc, Ward, Sarah, Teodorczuk, Andrew, Ray, Julian, Miller, Tim and Dissanayaka, Nadeeka N. (2024). Capturing the ghost in the machine: a process for development and validation of measures of phenomenal consciousness in delirium. Age and Ageing, 53 (7) afae144. doi: 10.1093/ageing/afae144

Capturing the ghost in the machine: a process for development and validation of measures of phenomenal consciousness in delirium

2024

Book

Mastering Reinforcement Learning

Miller, Tim (2024). Mastering Reinforcement Learning. Brisbane, Australia: The University of Queensland. doi: 10.14264/4bf1412

Mastering Reinforcement Learning

2024

Book Chapter

Transforming food production with AI

Cooper, Mark, Hickey, Lee, Jiang, Xianxian, La Fata, Giorgio, Lomas, Harold, Miller, Tim, O’Brien, Susan, Patel, Parth and Tomarchio, Samuel (2024). Transforming food production with AI. Food AI: A game changer for Australia’s food and beverage sector. (pp. 5-13) edited by Janet R. McColl-Kennedy and Damian Hine. Brisbane, QLD, Australia: The University of Queensland, Australia's Food and Beverage Accelerator (FaBA).

Transforming food production with AI

2024

Book Chapter

Demystifying consumer-facing fintech accountability for automated advice tools

Paterson, Jeannie, Miller, Tim and Lyons, Henrietta (2024). Demystifying consumer-facing fintech accountability for automated advice tools. Money, power, and AI: automated banks and automated state. (pp. 29-50) edited by Zofia Bednarz and Monika Zalnieriute. Cambridge, United Kingdom: Cambridge University Press. doi: 10.1017/9781009334297.005

Demystifying consumer-facing fintech accountability for automated advice tools

2024

Conference Publication

Preface of the Proceedings of the Workshop on Multimodal, Affective and Interactive eXplainable Artificial Intelligence (MAI-XAI), collocated with the European Conference on Artificial Intelligence (ECAI), 2024

Alonso-Moral, Jose M., Anthis, Zach, Berlanga, Rafael, Catalá, Alejandro, Cimiano, Philipp, Flach, Peter, Hüllermeier, Eyke, Miller, Tim, Mitruț, Oana, Moise, Gabriela, Moldoveanu, Alin, Moldoveanu, Florica, Sokol, Kacper and Soroa, Aitor (2024). Preface of the Proceedings of the Workshop on Multimodal, Affective and Interactive eXplainable Artificial Intelligence (MAI-XAI), collocated with the European Conference on Artificial Intelligence (ECAI), 2024. 27th European Conference on Artificial Intelligence (ECAI) 2024, Santiago de Compostela, Spain, 19–24 October 2024. Aachen, Germany: Rheinisch-Westfaelische Technische Hochschule Aachen.

Preface of the Proceedings of the Workshop on Multimodal, Affective and Interactive eXplainable Artificial Intelligence (MAI-XAI), collocated with the European Conference on Artificial Intelligence (ECAI), 2024

2023

Journal Article

Directive explanations for actionable explainability in machine learning applications

Singh, Ronal, Miller, Tim, Lyons, Henrietta, Sonenberg, Liz, Velloso, Eduardo, Vetere, Frank, Howe, Piers and Dourish, Paul (2023). Directive explanations for actionable explainability in machine learning applications. ACM Transactions on Interactive Intelligent Systems, 13 (4) 23, 1-26. doi: 10.1145/3579363

Directive explanations for actionable explainability in machine learning applications

2023

Conference Publication

Explainable AI is dead, long live explainable AI! : hypothesis-driven decision support using evaluative AI

Miller, Tim (2023). Explainable AI is dead, long live explainable AI! : hypothesis-driven decision support using evaluative AI. 2023 ACM Conference on Fairness, Accountability, and Transparency, Chicago, IL, United States, 12–15 June 2023. New York, NY, United States: ACM. doi: 10.1145/3593013.3594001

Explainable AI is dead, long live explainable AI! : hypothesis-driven decision support using evaluative AI

2023

Conference Publication

Algorithmic decisions, desire for control, and the preference for human review over algorithmic review

Lyons, Henrietta, Miller, Tim and Velloso, Eduardo (2023). Algorithmic decisions, desire for control, and the preference for human review over algorithmic review. 2023 ACM Conference on Fairness, Accountability, and Transparency, Chicago, IL, United States, 12–15 June 2023. New York, NY, United States: ACM. doi: 10.1145/3593013.3594041

Algorithmic decisions, desire for control, and the preference for human review over algorithmic review